Anas Abbouan

Mission at an industrial client (Forvia) aimed at automating and making reliable the data exchanges between several business tools used by different teams (modeling, simulation, MBSE).

Achievements:

Design and development of a REST API to centralize and orchestrate inter-application exchanges

Implementation of data transformation mechanisms (mapping, JSON conversion) to ensure tool compatibility

Deployment of the solution on VPS (GCP, Oracle Cloud) in a multi-user environment

Automation of server configuration with Ansible (reproducible environments)

Documentation of endpoints via Swagger (OpenAPI)

Collaboration with business teams to integrate and adapt data flows

Results:

Complete automation of exchanges between 3 tools and 3 teams

Reduction of processing time from several days to a few minutes

Improvement of reliability and reduction of human errors

Implementation of an architecture facilitating the integration of new business tools

Stack:

Python, REST API, Docker, Ansible, GCP, VPS, Linux, JSON, Swagger

Mission at an industrial client (Exxact Robotics – AgriTech) as part of the redesign of a distributed cloud architecture on GCP, within a DevOps team (8-9 people), with challenges related to reliability, automation, and deployment security.

Achievements:

Design and maintenance of CI/CD pipelines under Jenkins (build, tests, analysis, deployment, monitoring)

Progressive migration of pipelines from GitLab CI to Jenkins

Automation of deployments via Bash and Python scripts

Contribution to infrastructure as code with Terraform (provisioning and reproducibility of environments)

Deployment and management of containerized services (Docker) on GCP VMs

Implementation of automated backup and rollback mechanisms

Implementation of monitoring and alerting (Prometheus, Grafana, Alertmanager)

Participation in communication security (SSL certificates, network configuration, VPN)

System administration and support via SSH in a distributed environment

Results:

Improved deployment reliability in a multi-service environment

Reduction of manual interventions thanks to CI/CD automation

Strengthened service security and resilience

Improved observability and reduced incident detection time

Stack:

GCP, Jenkins, GitLab CI, Terraform, Docker, Bash, Python, Prometheus, Grafana, Alertmanager

Internal project aimed at automating identity management (users, groups, permissions) in an Azure Active Directory environment.

Achievements:

Development of a REST API with Spring Boot to manage Azure AD users and groups

Automation of administration operations (creation, permission management, group organization)

Containerization of the application with Docker for easier deployment

Integration with a MariaDB database for data management

Deployment and testing in an internal environment

Results:

Automation of Azure AD administration tasks

Simplification of user and permission management

Provision of an API interface to centralize IAM operations

Stack:

Java, Spring Boot, Docker, Azure AD, MariaDB